地理标记Twitter流事件检测模型综述

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI:10.1109/ICCCT53315.2021.9711759

N. V, Suresh Jaganathan

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引用次数: 0

摘要

GeoStreams是具有空间信息的时空连续数据流。简单来说，空间信息就是地球上任何表面的位置细节。这些位置细节基本上由其纬度和经度值指定，并且比位置特定信息(也可能是非空间数据属性)具有更多属性。作为数据流不断到达的时空文件提供了关于各种本地事件的基本信息。本文概述了使用地理标记的tweet流检测事件和发现趋势主题的各种模型及其实现，各种参数的比较以及现有模型中的挑战。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Survey on Event Detection Models from Geo Tagged Twitter Stream

GeoStreams are spatio temporal continuous data streams which has the spatial information. Spatial information in simple terms is the location details of any surface on the earth. These location details are basically specified by its latitude and longitude values and also have more attributes than location specific information which may be a non-spatial data attribute too. Spatio-temporal documents which arrives continuously as data streams offers basic required information about the various local events. This Paper provides an overview of the various models to detect the events and to discover the trending topics using the geo tagged tweet streams with their implementation, comparison of various parameters and the challenges in the existing models.

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2021 4th International Conference on Computing and Communications Technologies (ICCCT)

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